Amazon CodeGuru Security plugin for SageMaker Studio and Jupyter Notebooks now in preview

Amazon CodeGuru Security now supports security and code quality scans for Amazon SageMaker Studio and Jupyter notebooks. This new capability assists notebook users in detecting security vulnerabilities such as injection flaws, data leaks, weak cryptography, or missing encryption within the notebook cells. Users can also detect many common issues that affect the readability, reproducibility, and correctness of computational notebooks, such as misuse of ML library APIs, invalid execution order, and nondeterminism. When vulnerabilities or quality issues are identified in the notebook, CodeGuru generates recommendations that enable users to remediate those issues based on AWS security best practices.

Notebook users on SageMaker Studio and Jupyter can start scanning their code for security and quality issues today by installing the Amazon CodeGuru plugin for notebooks, currently in preview.

Amazon CodeGuru Security is a developer tool that provides intelligent recommendations to improve code security and quality. CodeGuru uses machine learning and automated reasoning to identify critical issues, security vulnerabilities, and hard-to-find bugs during application development and provide recommendations to assist users in correcting the identified issues.

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning that lets you build, train, debug, deploy, and monitor your machine learning models.

To learn more about CodeGuru Security, visit the CodeGuru Security user guide.
To learn more about SageMaker Studio, visit the SageMaker user guide.